Data Quality Expert in Dusseldorf
to make critical data reliable, with precise AI matchingHire experts who profile datasets, define validation rules and improve data pipelines across cloud warehouses, master data environments and reporting systems. FRATCH matches you quickly with vetted, available freelancers whose skills fit your project.
Meet FRATCH Experts in Dusseldorf, who have recently used Data Quality
Sergei M.
Last position:
Interim Program Manager at parcIT
Time-limited interim assignment filling a vacant program leadership position: joint leadership of a complex software project and orchestration of several agile teams (business, development, and DevOps teams), as well as actively driving change processes.
- Program Management & Planning: Responsibility for creating and updating milestone, resource, and budget plans to ensure project objectives using agile and hybrid methods.
- Cross-functional Collaboration: Promoting cooperation and knowledge sharing across teams; resolving blockers through proactive conflict management and targeted facilitation.
- Stakeholder Management & Transparency: Ensuring transparent and audience-appropriate communication within and outside the project organization using modern project management tools.
Songül D.
Last position:
Freelance SAP BW Consultant at DKV Mobility Services
- Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
- Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
- Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
- Integrated SAP and non-SAP data sources (including MS Dynamics)
- Improved reporting transparency through consolidated data models
- Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance
Matthias M.
Last position:
Project Manager at HSBC
- Project Manager for banking projects
- Management and coordination of the projects 'XONTRO T7 Migration' and 'UNO – Unified for New Opportunities'. Management of international stakeholders, preparation and leadership of steering committees, and coordination between departments, exchanges, and external partners.
- Project management of the strategic projects 'XONTRO T7 Migration' and 'UNO – Unified for New Opportunities'
- Management of international stakeholders including exchanges, custodians, and external project partners
- Coordination of functional and technical test activities at the exchanges between trading, IT, accounting, and mid-/back office
- Facilitation of steering committees at management level
- Preparation of decision papers, status reports, and risk analyses
- Conduct analyses in the areas of reporting (compliance, regulatory reporting, etc.), taxes on securities transactions & custody accounts, process analysis
- Enforcement of required requirements/specifications
- Coordination between business, IT, operations, and external market participants
- Coordination and alignment with external market participants, service providers, exchanges, and other project stakeholders
Ludo P.
Last position:
Senior Consultant at Insurance
- DWH modernization
- Migration from Informatica PowerCenter to IDMC/CDI
- Migration from IBM DB2 to Databricks
Technologies: Informatica IDMC, Databricks
Johann M.
Last position:
Project Manager at Staffing services provider with a focus on Finance & Controlling
- Building a central data model to consolidate data from CRM (ATS), online marketing, HR, and finance
- Integration of various data sources (including Sistrix, eTracker, HR Works, finance systems)
- Creation of a unified data basis for reporting and management
- Design and setup of the data structure
- Business analysis and definition of KPIs
- Coordination of data integration and alignment with business departments
- Consolidation and normalization of heterogeneous data sources
- Building an initial prototype in Excel
- Further development and implementation in Microsoft Power BI
- Central, consolidated data basis across multiple business areas
- Transparent management of CRM/ATS, marketing, HR, and finance KPIs
- Establishment of scalable BI reporting based on Power BI
Archana R.
Last position:
Power BI Assistant at Cataliquent Projekt GmbH
- Evaluate, design, and implement Power BI solutions for Cat4 reporting, significantly improving reporting efficiency, accuracy, and stakeholder visibility.
- Develop and maintain robust data integration interfaces between Cat4 and Power BI, eliminating manual processing bottlenecks.
- Configure and continuously optimise Power BI reports to deliver sharper management insights and support data-driven decision-making.
- Ensure full GDPR data protection compliance across Power BI reports, proactively identifying and mitigating risks.
- Acquired in-depth product knowledge of CAT4, a globally deployed enterprise platform, enabling effective requirements analysis, solution design, and seamless Power BI integration across client environments.
- Developed and integrated scalable reporting templates within the CAT4 product interface, delivering new product features and enhancing data visualisation, reporting efficiency, and stakeholder visibility across global users.
- Trained and mentored staff on Power BI configuration and best practices, accelerating adoption and embedding a data-driven culture.
- Prepared clear technical documentation and delivered hands-on demonstrations to end users and clients, ensuring smooth adoption and confident use of Power BI solutions integrated with CAT4.
- Researched and recommended licensing strategies for cost-effective and scalable Power BI deployment.
SKILLS - BI & Visualisation: Power BI (Desktop, Service, Report Builder), DAX, Power Query
Project and Product Management Tool: CAT4
Orhan Y.
Last position:
SAP Senior Consultant OTC/MM/WM/LE/CS/PS/GTS, C4C-Cloud (Sales, Services, E-Commerce) at High-Technologie
- Support and consulting for the integration of SAP ECC into an SAP S/4HANA system, retirement of legacy systems, implementation, and process optimization in the new harmonized system
- Project implementation of S/4HANA Cloud Private & Public Sales & Services with SAP SCM/OTC/MM/LE/CS/PS, S/4HANA Cloud, CPI, BTP, EDI, IDOC, ABAP, User-Exit, SolMan, ITIL, SAP Cloud AL
- Customizing and optimization in OTC and MM, including condition maintenance, document type and item category extensions, integration with FI/CO, scheduling agreement configuration, material master and purchasing info record maintenance, release procedures, message control, and master data quality
- Ensuring integration of PTP with FI/CO, SD, and WM, process analysis, and efficiency improvement for the S/4HANA environment
- Process modeling in Signavio, workshops, and trainings
- 2nd & 3rd level support in OTC, MM, CS, PS, C4C Sales & Services, GTS, and MDG: incident and change tickets, feasibility analyses, service management, embedded analytics, customizing, tests, documentation, training, debugging, IDOC/EDI monitoring
- SAP S/4HANA migration: data migration, system harmonization, global rollouts, and template development
- ABAP development and optimization: reports, dialog programs, user exits, IDOC/EDI monitoring
Arndt M.
Last position:
Project Manager for ServiceNow Vulnerability Response at Union Investment Services & IT GmbH
- Led the subproject for implementing Vulnerability Response as part of DORA
- Documented the current processes in compliance, risk & security
- Created the functional design for introducing application, infrastructure, and cloud vulnerabilities
- Agile management of the integration service provider, the technical department, and the company's cross-functional teams
- Integrated the V scanners Tenable, Qualys and Defender, as well as NVD and CISA/KEV
- Integrated GitLab Ultimate for importing and processing SBOMs
- Developed automation rules to match scan results with CIs in the CMDB, assign vulnerabilities and remediation tasks, handle approvals (false positives, exceptions) and closures
- Calculated multiple risk scores and priorities
- Defined dashboards and reports (Workspaces, Performance Analytics)
- Aligned the new processes, especially to improve the CMDB data quality (according to CSDM)
Wolfgang S.
Last position:
CIO / CDO / Project Manager AI Academy / Auditor of Operational Processes / Product Owner MS365 at F&P Executive Solutions AG
- Digitalization of accounting, signature/approval, and onboarding processes
- Restructuring of the IT department
- Introduction of a digital sales tool
- Implementation of an AI webinar series
- Introduction and optimization of information security
- Administration and optimization of the MS Office 365 environment
Dennis S.
Last position:
Third Party Risk Management at Ergo Group
- Processing entries in the Third Party Risk Management (TPRM) process
- Conducting clean-ups of existing business relationships
- Creating, processing, and documenting requests
- Reviewing entries from process participants based on existing files
- Collaborating with risk SMEs (Subject Matter Experts) and vendor contacts
- Working closely with procurement, information security, and data protection to align business requirements
- Implementing regulatory requirements (VAIT, DORA) and ensuring compliance and risk management
Peter H.
Last position:
Product Owner / Senior Business Analyst
- Analysis of the possibility of transferring market location data to a separate microservice in an overarching web portal
- Development of a more user-friendly target process based on the current process in coordination with users
- Coordination of the related architecture concept with architects/developers
- Coordination of the related epics and user stories with the relevant business departments
- Backlog prioritization and project planning (including effort estimation)
- Testing and acceptance of implemented user stories
- Technologies/tools used: MS Office, Jira, Mural, Kotlin, React, GitHub, MS Azure, SQL, Postman, XML, JSON, Kafka, Balsamiq, BPMN
Dominik M.
Last position:
Data Solution Architect at Dormakaba (Switzerland)
- Leading the MDM and Idea to Market team in implementing an SAP Master Data Governance solution and PTC Windchill integration as part of a global S/4 HANA transformation
- Independently managing workshops within the end-to-end streams
- Developing a state-of-the-art business partner and material master data design to enable AI-supported business decisions
- Designing and implementing template data management processes for a global S/4 HANA SAP system
Aziz A.
Last position:
Senior Data Scientist & AI Engineer Consultant at Lialab SAS
- At Groupama: Developed multiple chatbots using Retrieval-Augmented Generation (RAG) to optimize internal processes and customer communication.
- At PwC: Set up an AI lab and developed various AI use cases.
- At La Poste: Analyzed and improved data quality in the data lake.
- At ARTE TV: Built a recommendation system using NLP for better content discovery.
Ehsan M.
Last position:
BI Developer at Telecommunications Infrastructure
- Gather and analyze requirements in close collaboration with business units to develop data-driven solutions and scalable PowerBI reporting infrastructures.
- Perform detailed debugging and optimize existing semantic and data models to ensure a robust data architecture, high data quality, and improved PowerBI reporting.
- Design and implement scalable ETL processes for data preparation and integration.
- Create a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and metrics.
Emil K.
Last position:
Specialist Consultant – Life Science & Healthcare at Monitor Deloitte
- Developed a global data-governance model for a leading pharma client, aligning stakeholders across 10+ markets to standardize workflows, improve data quality, and prepare organizational AI readiness for analytics and AI-powered tools
- Developed and executed a success plan to optimize incentive design and drive behavioral adoption of a new sales model through benchmarking, stakeholder engagement, and performance reviews
- Designed a future-state service-governance framework for a global tech client, clarifying ownership between central and local teams to enable scalable adoption, efficiency, and standardized customer experience
Discover over 15,000 top freelancers
Statistics of experts using Data Quality
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
2.1 years (Germany: 3 years)
Positions per freelancer
10
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
86% (Germany: 95%)
Master's degree or higher
71% (Germany: 68%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Dusseldorf are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Dusseldorf using Data Quality
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Quality experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (71%)
- Professional Services (65%)
- Banking and Finance (47%)
- Telecommunication (35%)
- Healthcare (29%)
- Manufacturing (29%)
- Retail (29%)
- Insurance (24%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it covers
Data Quality is the discipline of making data accurate, complete, consistent, timely, valid and fit for its intended use. It covers the rules, processes and controls that keep information trustworthy from ingestion through reporting. Experts help companies turn unreliable records into data that teams can confidently use for operations, analytics and compliance.
What it builds
Data quality work supports dependable customer, product, supplier and financial data across modern data estates. Typical assignments include:
- Profiling source data and identifying recurring defects
- Designing validation, cleansing and reconciliation rules
- Monitoring quality in data warehouses, lakes and pipelines
- Establishing master data and reference data controls
Tools and skills
Strong professionals combine SQL with data profiling, metadata management and automated testing. They may work with Great Expectations, dbt tests, Soda, Apache Deequ, Informatica, Talend or cloud-native validation services. Useful adjacent skills include Python, ETL and ELT design, data governance, cataloguing, lineage and dashboarding.
When to hire specialists
Companies usually bring in freelance expertise when defects spread across systems, reports lose credibility or a migration exposes conflicting records. A specialist can create a practical quality framework, prioritise critical fields and transfer repeatable checks to internal teams. Dusseldorf organisations often need collaboration across German-speaking business units and international technology teams, with remote or on-site work depending on access and workshops.
What good work delivers
A capable professional connects technical checks to business definitions instead of treating every anomaly as equally important. They document ownership, thresholds, exceptions and remediation paths, then make results visible through useful quality dashboards. The deliverable may include rules, test suites, issue workflows, monitoring alerts and clear evidence that data is ready for its intended purpose.
Choosing the right fit
Look for experience with the systems that hold your critical data and with the type of defects your project faces. Ask how the expert measures completeness, uniqueness, validity and consistency, and how failed checks reach the people who can fix the source. The strongest specialists explain trade-offs clearly, protect sensitive information and leave behind maintainable controls rather than a one-off cleanup.
Frequently asked questions
Before you brief your next project: the most common questions about Data Quality.
Data Quality is used to assess and improve whether information is accurate, complete, consistent, valid, timely and fit for a defined purpose. Companies apply it to customer records, finance data, supply chains, analytics, reporting and machine learning inputs.
Data Quality is broader than data cleansing. Cleansing corrects, standardises or removes problematic records, while quality management also defines rules, monitors results, assigns ownership and prevents defects from entering downstream systems.
A strong Data Quality specialist often brings SQL, Python, ETL or ELT knowledge and experience with data warehouses or lakes. Data governance, master data management, metadata, lineage, catalogues and automated testing are also valuable, depending on the project.
The right Data Quality experience depends on scope, source complexity and the consequences of errors. A focused profiling or rule-design assignment may need a specialist who can work independently, while an enterprise programme also requires governance, stakeholder management and migration experience.
Yes, Data Quality work is often suitable for remote collaboration because profiling, rule design and monitoring can be performed in shared environments. On-site sessions in Dusseldorf can still help with access reviews, process mapping and workshops with business owners; German and English communication may both be relevant.
Common Data Quality tools include Great Expectations, dbt tests, Soda, Apache Deequ, Informatica and Talend. The best choice depends on the data stack, deployment model, governance needs and whether checks must run inside pipelines or as an independent monitoring layer.
Ask the Data Quality professional to explain how they turn business definitions into testable rules and how they prioritise defects by impact. Review examples of profiling, reconciliation, monitoring and remediation, and check whether their documentation allows internal teams to maintain the controls.
Before starting Data Quality work, clarify the critical data domains, source systems, access constraints, business definitions and accountable owners. Also agree on quality dimensions, acceptance criteria, remediation responsibilities and how findings will be reported to technical and business stakeholders.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects is 107 €, which corresponds to a daily rate of about 856 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects, 86% hold at least a Bachelor's degree and 71% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are German (100%), English (94%), and Spanish (12%).
The most common industries among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are Information Technology (71%), Professional Services (65%), and Banking and Finance (47%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are Information Technology (94%), Project Management (76%), and Business Intelligence (71%).
Main locations of FRATCH Experts, who have recently used Data Quality
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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Munich 
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Frankfurt 
Stuttgart 
Hanover 
Nuremberg Request a free demo
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FRATCH CEO
